IlyasMoutawwakil HF staff commited on
Commit
4bb58d1
·
verified ·
1 Parent(s): 5976f31

Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -73,14 +73,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.342208,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
- "optimum_benchmark_commit": "40cdab56663479e2e7275c1c80c2a04578a9eafc",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 942.645248,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,52 +108,52 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 22,
111
- "total": 1.0402117559999624,
112
- "mean": 0.047282352545452835,
113
- "stdev": 0.0010258064772428134,
114
- "p50": 0.04723089250003909,
115
- "p90": 0.048386575499949916,
116
- "p95": 0.04904561480002201,
117
- "p99": 0.049575926310030806,
118
  "values": [
119
- 0.04907902500002592,
120
- 0.04707310199995618,
121
- 0.04774641500000598,
122
- 0.04626092799998105,
123
- 0.04816836599997032,
124
- 0.04674569700000575,
125
- 0.046567211999956726,
126
- 0.047195882000039546,
127
- 0.04538174800001116,
128
- 0.048410820999947646,
129
- 0.047265903000038634,
130
- 0.048096641000029194,
131
- 0.04753637100003516,
132
- 0.04970801400003211,
133
- 0.0473437899999567,
134
- 0.047854336999989755,
135
- 0.047710005999988425,
136
- 0.04709540300001436,
137
- 0.046281064999959654,
138
- 0.04646490099997891,
139
- 0.046649837000018124,
140
- 0.04557629200002111
141
  ]
142
  },
143
  "throughput": {
144
  "unit": "samples/s",
145
- "value": 21.14953986349756
146
  },
147
  "energy": {
148
  "unit": "kWh",
149
- "cpu": 1.5565613640679256e-06,
150
- "ram": 6.505144895809281e-08,
151
  "gpu": 0.0,
152
- "total": 1.6216128130260184e-06
153
  },
154
  "efficiency": {
155
  "unit": "samples/kWh",
156
- "value": 616670.0163980237
157
  }
158
  }
159
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.346304,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
+ "optimum_benchmark_commit": "3b17890e550ffe969ad275a1b08288c6015397d9",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 942.493696,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 22,
111
+ "total": 1.0247420610000404,
112
+ "mean": 0.04657918459091093,
113
+ "stdev": 0.0010199525278020947,
114
+ "p50": 0.04660102600000471,
115
+ "p90": 0.04792554349998568,
116
+ "p95": 0.04802183055001876,
117
+ "p99": 0.04852607695999524,
118
  "values": [
119
+ 0.047971357999983866,
120
+ 0.04654072899998596,
121
+ 0.04682252399999243,
122
+ 0.045029308000010815,
123
+ 0.048659410999988495,
124
+ 0.047421891999988475,
125
+ 0.045665705000004664,
126
+ 0.046577006000006804,
127
+ 0.04424212899999702,
128
+ 0.047206040000020266,
129
+ 0.047100774000000456,
130
+ 0.046210261999988234,
131
+ 0.04672517200000925,
132
+ 0.0480244870000206,
133
+ 0.046425843000008626,
134
+ 0.047047273000004,
135
+ 0.047513213000002,
136
+ 0.04662504600000261,
137
+ 0.04557675000000927,
138
+ 0.046158504999993966,
139
+ 0.04570265500001369,
140
+ 0.0454959790000089
141
  ]
142
  },
143
  "throughput": {
144
  "unit": "samples/s",
145
+ "value": 21.468817214870946
146
  },
147
  "energy": {
148
  "unit": "kWh",
149
+ "cpu": 1.534299819897383e-06,
150
+ "ram": 6.412091552279665e-08,
151
  "gpu": 0.0,
152
+ "total": 1.5984207354201798e-06
153
  },
154
  "efficiency": {
155
  "unit": "samples/kWh",
156
+ "value": 625617.5097335235
157
  }
158
  }
159
  }